Triple
T7230301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clockers |
E154883
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Sam Pollard |
E597015
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Sam Pollard | Statement: [Clockers, editor, Sam Pollard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sam Pollard Context triple: [Clockers, editor, Sam Pollard]
-
A.
Sam Pollard
chosen
Sam Pollard is an acclaimed American filmmaker and editor known for his influential work on documentaries exploring African American history and culture.
-
B.
Mike Nolan
Mike Nolan is a name shared by several notable individuals, including a British singer from the pop group Bucks Fizz and various sports coaches and players.
-
C.
Mark Canton
Mark Canton is an American film producer and former studio executive known for overseeing and producing numerous Hollywood films across genres.
-
D.
Jim Nolan
Jim Nolan is the idealistic young labor organizer who becomes radicalized and leads a fruit pickers' strike in John Steinbeck's novel "In Dubious Battle."
-
E.
Marc Randolph
Marc Randolph is an American entrepreneur and co-founder of Netflix who played a key role in pioneering the subscription-based streaming and DVD-by-mail business model.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c68811dd1c8190ac460bb39e64e1f0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea0d9b6c8190a0b5f0ab8d5cca19 |
completed | March 27, 2026, 8:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cc22a39481909a2f38014260f302 |
completed | March 28, 2026, 12:40 p.m. |
Created at: March 27, 2026, 2:54 p.m.